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Computational Intelligence, Cyber Security and Computational Models Proceedings of ICC3 2015

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2016

Abbildungen

XVI, 586 p. 224 illus.

Herausgeber

Muthukrishnan Senthilkumar + weitere

Verlag

Springer Singapore

Seitenzahl

586

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

902 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-981-10-0250-2

Beschreibung

Portrait


Muthukrishnan Senthilkumar
is an Associate Professor, Department of Applied Mathematics and Computational
Sciences, PSG College of Technology. He has got Post Doctoral Fellowship from
Department of Nanobio Materials and Electronics, (WCU), Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea. He is also a
Visiting Professor to the School of Information and Communication, GIST,
Republic of Korea. He has over 16 years of teaching and research experience. He
has received PhD in Retrial Queueing Models from Anna University, Chennai,
India. His biography is recognized and included in the biographies of Marquis
Who’s Who in the World 2013 and 2016. His fields of interest include retrial
queueing theory, data communication and reliability engineering. He has
published several research articles in refereed reputed journals. Currently he
is guiding 4 PhD scholars.


Vijayalakshmi Ramasamy
has over 19 years of academic experience and currently isAssociate Professor
in the Department of Applied Mathematics and Computational Sciences at PSG
College of Technology, India. She received her PhD in Graph Mining
Algorithms from Anna University. Her research interest includes graph
based data mining, especially complex network systems, and social network
analysis. Her research publications include about 30 Peer reviewed
International Journals and conference papers. She has been a reviewer in
reputed journals. She is currently actively associated with Cognitive Neuro-engineering
Laboratory (CNEL), UniSA in the acquisition and analysis of brain wave data for
cognitive modeling, pattern identification and visualization using
graph-theoretic approaches. She has established a Computational
Neuroscience Laboratory in 2012 at PSG College of Technology in association
with Prof. Nanda Nandagopal, Professor of Defense, University of South
Australia, Australia.


Shina Sheen
is an Assistant Professor
(Selection Grade) at the Department of Applied Mathematics and Computational
Sciences at PSG College of Technology. She holds a BSc in Physics from Calicut
University and a MCA and MPhil in Computer Science from Bharathiyar University.
Her PhD thesis is in the area of Malware Detection using Machine Learning and
Data Mining Techniques. Her research focuses on security in smart devices, intrusion
detection, Cyber security and Data Mining. She has published articles in
refereed reputed journals and conference proceedings. She holds the GIAC
certified Intrusion Analyst (GCIA) security certification. She is a member of ACM,
Cryptology Research Society of India and the Computer Society of India.


C. Veeramani
is an Assistant Professor, Department of
Applied Mathematics and Computational Sciences, PSG College of Technology. He
has received PhD degree in Fuzzy Optimization from Anna University, Chennai,
India. He has over 10 years of teaching and research experience. His fields of
interest include fuzzy optimization, fuzzy logic, soft computing and epidemic
models. He has published his research articles in various reputed international
journals and international conference proceedings. Currently, he is guiding 4
PhD scholars in the area of fuzzy optimization and fuzzy epidemic models.


Anthony Bonato
is Associate
Dean, Students and Programs in the Yeates School of Graduate Studies at Ryerson
University and Editor-in-Chief of the journal Internet Mathematics. He has
authored over 90 publications with 40 co-authors on the topics of graph theory
and complex networks. In 2009 and 2011, he was awarded Ryerson Faculty SRC
Awards for excellence in research. In 2012, he was awarded an inaugural YSGS
Outstanding Contribution to Graduate Education Award. In 2015, Bonato was appointed to the
NSERC Discovery Mathematics and Statistics Evaluation Group for a three year
term.


Lynn Batten
is the Director of Information
Security Group, Deakin University, Australia. Her current research interests

include malicious software,
information security and reliability, cryptology, computer forensics, coding
theory, optimization techniques. She is a member of the editorial board of
the Journal of Combinatorial Mathematics and Combinatorial Computing and
of the Journal of the Australian Mathematical Society. She is on the Board
of Directors of SECIA. She has published several books and research articles in
refereed reputed journals. 

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2016

Abbildungen

XVI, 586 p. 224 illus.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

586

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

902 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-981-10-0250-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Intelligence, Cyber Security and Computational Models
  • Produktbild: Computational Intelligence, Cyber Security and Computational Models

  • Part I_Keynote Address:

    1.
    The game of Wall Cops and Robbers.-

    2.
    Smartphone Applications, Malware
    and Data Theft.-
    3.
    Towards Evolutionary Multitasking: A New Paradigm in Evolutionary Computation.-
    4.
     Generating a Standardized Upper Ontology for Security of Information and
    Networks.-
    Part II_Computational Intelligence: Chapter 1.
    Analysis of Throat Microphone Using MFCC
    features for Speaker Recognition.-
    Chapter 2.
    Single-pixel Based Double
    Random-Phase Encoding Technique.-
    Chapter 3.
    Kernel Online Multi-task
    Learning.-
    Chapter 4.
    Performance Evaluation of Sentiment
    Classification Using Query Strategies in a Pool Based Active Learning Scenario.-

    Chapter 5.
    An Enhanced Image Watermarking Scheme Using Blocks
    with Homogeneous Feature Distribution.-
    Chapter
    6.

    Performance Analysis of ApEn as
    a Feature Extraction Technique and Time Delay Neural Networks, Multi-layer
    Perceptron as Post Classifiers for the Classification of Epilepsy Risk Levels
    from EEG Signals.-
    Chapter 7.
    Suspicious Human Activity Detection in
    Classroom Examination.-
    Chapter 8.

    H


     
    State
    Estimation of Discrete Time Delayed Neural Networks with Multiple Missing Measurements
    Using Second Order Reciprocal Convex Approach.-
    Chapter 9.
    A Fuzzy
    Methodology for Clustering Text Documents with Uncertain Spatial References.-
    Chapter
    10.

    A Novel Feature Extraction Algorithm from
    Fingerprint Image in Wavelet Domain.-
    Chapter 11.
    Motor
    imagery Classification Based on Variable Precision Multigranulation Rough Set.-

    Chapter 12.
    Fault Tolerant and Energy Efficient Signal Processing on FPGA Using Evolutionary
    Techniques.-
    Chapter 13.
    A Two Phase Approach for Efficient Clustering
    of Web Services.-
    Chapter 14.
    Elimination of Redundant Association Rules
    – An Efficient Linear Approach.-
    Chapter 15.
    Clustering Techniques from
    Significance Analysis of Microarrays.-
    Chapter 16.
    Breast Region
    Extraction and Pectoral Removal by Pixel Constancy Constraint approach in
    Mammograms.-
    Chapter 17.
    Bridging the Semantic Gap in Image Search via
    Visual Semantic Descriptors by Integrating Text and Visual Features.-
    Chapter
    18.

    Adaptive Equalization Algorithm for Electrocardiogram Signal
    Transmission.-
    Chapter 19.
    An Efficient Approach for MapReduce
    Result Verification.-
    Chapter 20.
    Improving Lifetime of Memory Devices Using Evolutionary
    Computing Based Error Correction Coding.-
    Chapter 21.
    Comparison of
    Machine Learning Techniques for the Identification of the Stages of Parkinson's
    Disease.-
    Chapter 22.
    Security Constrained Unit Commitment Problem Employing
    Artificial Computational Intelligence for Wind-thermal Power System.-
    Chapter
    23.

    Human Gait Recognition Using Fuzzy Logic.-
    Chapter 24.
    Detection
    and Diagnosis of Dilated and Hypertrophic Cardiomyopathy by Echocardiogram
    Sequences Analysis.-
    Chapter 25.
    An Elitist Genetic Algorithm Based
    Extreme Learning Machine.-
    Chapter 26.
    Formulation and Enhancement of User Adaptive
    Access to the Learning Resources in E-Learning Using Fuzzy Inference Engine.-
    Part III_Cyber Security:

    Chapter
    27.
    A Robust User Anonymity Preserving Biometric Based Multi-server
    Authenticated Key Agreement Scheme.-
    Chapter
    28.

    Extended Game Theoretic Dirichlet Based Collaborative Intrusion
    Detection Systems.-
    Chapter 29.
    Implementation of ECDSA Using Sponge Based Hash Function.-
    Chapter 30.
    Contrast-Enhanced Visual Cryptography Schemes Based on
    Perfect Reconstruction of White Pixels and Additional Basis Matrix.-

    Chapter 31.
    Hash Based Two Gateway Payment Protocol Ensuring
    Accountability with Dynamic ID-verifier for Digital Goods Providers.-
    Chapter 32.
    Decrypting
    Shared Encrypted Data Files Stored in a Cloud Using Dynamic Key Aggregation.-
    Chapter 33.
    A Lock and Key Share (2,m,n) Random Grid Visual Secret Sharing Scheme
    with XOR and OR Decryptions.-
    Chapter 34.
    Multilevel Multimedia Security by Integrating Visual Cryptography and
    Steganography Techniques.-
    Chapter 35.
    K
    out of N Secret Sharing Scheme with Steganography and Authentication.-
    Chapter 36.
    A Centralized Trust Computation Model (CTC) for Secure Group Formation in
    Military Based Mobile Ad-hoc Networks Using Stereotypes.-
    Chapter
    37.

    Cost Effective Re-keying Approach for Dynamic Membership Changes in Group Key
    Management.-
    Chapter 38.
    A Multipath Routing Protocol which Preserves Security and Anonymity of
    Data in Mobile Ad-hoc Networks.-
    Chapter 39.
    An Efficient Continuous Auditing Methodology for Outsourced Data Storage
    in Cloud Computing.-
    Part IV_Computational Models:

    Chapter 40.
    A Study on Building
    Seamless Communication Among Vehicles in Vanet Using the Integrated Agent
    Communication Model (IACM).-
    Chapter 41.
    A Hybrid Approach for Data Hiding
    through Chaos Theory and Reversible Integer Mapping.-

    Chapter 42.
    Fluid Queue Driven by an M/E2/1 Queuing Model.-
    Chapter 43.
    An Effective Tool
    for optimizing the Number of Test Paths in Data Flow Testing for Anomaly
    Detection.-
    Chapter 44.
    Venus Flytrap
    Optimization.-
    Chapter 45.
    Zumkeller Cordial
    Labeling of Graphs.-
    Chapter
    46.

    Cuckoo Based
    Resource Allocation for Mobile Cloud Environments.-
    Chapter 47.
    Transient Analysis
    of an M/M/c Queue Subject to Multiple Exponential Vacation.-
    Chapter 48.
    Fractional Filter Based
    Internal Model Controller for Nonlinear Process.-
    Chapter 49.
    A Novel Method for
    Solving Triangular and Trapezoidal Intuitionistic Fuzzy Games Using Dominance
    Property and Oddment Method.